%0 Journal Article
%A Schipf, Sabine
%A Schöne, Gina
%A Schmidt, Börge
%A Günther, Kathrin
%A Stübs, Gunthard
%A Greiser, Karin H
%A Bamberg, Fabian
%A Meinke-Franze, Claudia
%A Becher, Heiko
%A Berger, Klaus
%A Brenner, Hermann
%A Castell, Stefanie
%A Damms-Machado, Antje
%A Fischer, Beate
%A Franzke, Claus-Werner
%A Fricke, Julia
%A Gastell, Sylvia
%A Günther, Matthias
%A Hoffmann, Wolfgang
%A Holleczek, Bernd
%A Jaeschke, Lina
%A Jagodzinski, Annika
%A Jöckel, Karl-Heinz
%A Kaaks, Rudolf
%A Kauczor, Hans-Ulrich
%A Kemmling, Yvonne
%A Kluttig, Alexander
%A Krist, Lilian
%A Kurth, Bärbel
%A Kuß, Oliver
%A Legath, Nicole
%A Leitzmann, Michael
%A Lieb, Wolfgang
%A Linseisen, Jakob
%A Löffler, Markus
%A Michels, Karin B
%A Mikolajczyk, Rafael
%A Pigeot, Iris
%A Mueller, Ulrich
%A Peters, Annette
%A Rach, Stefan
%A Schikowski, Tamara
%A Schulze, Matthias B
%A Stallmann, Christoph
%A Stang, Andreas
%A Swart, Enno
%A Waniek, Sabine
%A Wirkner, Kerstin
%A Völzke, Henry
%A Pischon, Tobias
%A Ahrens, Wolfgang
%T [The baseline assessment of the German National Cohort (NAKO Gesundheitsstudie): participation in the examination modules, quality assurance, and the use of secondary data].
%J Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz
%V 63
%N 3
%@ 1437-1588
%C Heidelberg
%I Springer
%M DKFZ-2020-00405
%P 254-266
%D 2020
%Z 2020 Mar;63(3):254-266
%X The German National Cohort (NAKO) is an interdisciplinary health study aimed at elucidating causes for common chronic diseases and detecting their preclinical stages. This article provides an overview of design, methods, participation in the examinations, and their quality assurance based on the midterm baseline dataset (MBD) of the recruitment.More than 200,000 women and men aged 20-69 years derived from random samples of the German general population were recruited in 18 study centers (2014-2019). The data collection comprised physical examinations, standardized interviews and questionnaires, and the collection of biomedical samples for all participants (level 1). At least 20
%F PUB:(DE-HGF)16
%9 Journal Article
%$ pmid:32047976
%R 10.1007/s00103-020-03093-z
%U https://inrepo02.dkfz.de/record/153707